Artificial Intelligence with creative abilities is moving towards the ‘phase of disappointment’

Reaching the top of exaggerated expectations is instant engineering, as per Gartner. While many large linguistic models like OpenAI’s GPT-4 come pre-loaded with vast amounts of data, “instant engineering,” a technique for training the algorithm, enables artificial intelligence to be customized for particular industries or even specific organizational requirements.

Interest in artificial intelligence with creative abilities decreases as the focus shifts to return on investment (ROI)

Excitement surrounding foundational models, including Google Gemini, Anthropic Claude, Amazon Bedrock, and OpenAI GPT-4, is diminishing among corporations as they now prioritize concrete returns on investment (ROI). Nowadays, companies are deploying artificial intelligence with creative abilities primarily for specific cases that generate ROI, as stated by Arun Chandrasekaran, a distinguished vice president analyst at Gartner.

“Artificial intelligence with creative abilities is moving through the phase of disappointment due to the disparity between high expectations and reality, the challenges faced by enterprises in advancing their data engineering and AI governance, as well as the vague ROI of numerous artificial intelligence initiatives,” Chandrasekaran remarked.

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AndyC

Andy Curtis is an award-winning security consultant, researcher and public speaker. He has been working in the computer security industry since the early 1990s, having been employed by state and federal government, leading healthcare and banking providers across three continents. He has given talks about computer security for some of the world’s largest companies, worked with law enforcement agencies on investigations into hacking groups, and is a regular voice on TV and radio explaining IT security threats.

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